We are looking for a motivated Deep Learning engineer to bring advanced communication technologies into AI stacks and improve AI compilers for large-scale workloads. Responsibilities : • Integrate ...
We are looking for a motivated Deep Learning engineer to bring advanced communication technologies into AI stacks and improve AI compilers for large-scale workloads. Responsibilities : • Integrate ...
We are looking for a motivated Deep Learning engineer to bring advanced communication technologies into AI stacks, including PyTorch, TRT-LLM, vLLM, SGLang, JAX, etc. You will be working with the ...
We are looking for a motivated Deep Learning engineer to bring advanced communication technologies into AI stacks, including PyTorch, TRT-LLM, vLLM, SGLang, JAX, etc. You will be working with the ...
We are now looking for a Senior GPU & Deep Learning Architect ... The NVIDIA GPU Architecture group is looking for world class architects and software developers to ...
We are now looking for a Senior GPU & Deep Learning Architect ... The NVIDIA GPU Architecture group is looking for world class architects and software developers to ...
Machine Learning Engineer
Durham, NC · On-site
... TensorFlow • Deep understanding of machine learning fundamentals (gradient descent, cross ... S. or Ph.D in engineering, math, computer science, or related field • Excellent technical ...
Machine Learning Engineer
Durham, NC · On-site
... TensorFlow • Deep understanding of machine learning fundamentals (gradient descent, cross ... S. or Ph.D in engineering, math, computer science, or related field • Excellent technical ...
Deep understanding of machine learning fundamentals (gradient descent, cross-validation, ROC curves ... S. or Ph.D in engineering, math, computer science, or related field * Excellent technical ...
Quick apply
Deep understanding of machine learning fundamentals (gradient descent, cross-validation, ROC curves ... S. or Ph.D in engineering, math, computer science, or related field * Excellent technical ...
Senior Software Architect - Deep Learning and HPC Communications
Durham, NC · On-site
$125K - $170K/yr
... Deep Learning and HPC. We're seeking a Senior Software Architect to help co-design next-gen data ... Excellent C/C++ programming and debugging skills. * Experience with parallel programming models ...
Senior Software Architect - Deep Learning and HPC Communications
Durham, NC · On-site
$125K - $170K/yr
... Deep Learning and HPC. We're seeking a Senior Software Architect to help co-design next-gen data ... Excellent C/C++ programming and debugging skills. * Experience with parallel programming models ...
Machine Learning Engineer
Durham, NC · On-site
Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural ... learning, Bayesian models, etc. • B.S., preferably M.S. or Ph.D in engineering, math, computer ...
Machine Learning Engineer
Durham, NC · On-site
Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural ... learning, Bayesian models, etc. • B.S., preferably M.S. or Ph.D in engineering, math, computer ...
Experience working with one of the Deep Learning frameworks like TensorFlow, PyTorch, ONNX, JAX Preferred Qualifications * 1+ years Python programming experience * Experience with different NN ...
Experience working with one of the Deep Learning frameworks like TensorFlow, PyTorch, ONNX, JAX Preferred Qualifications * 1+ years Python programming experience * Experience with different NN ...
Sr Software Engineer, AI Tools - Quantizer
Raleigh, NC · On-site
$119K - $157K/yr
Experience working with one of the Deep Learning frameworks like PyTorch, Tensorflow, ONNX, JAX Preferred Qualifications * 2+ years Python programming experience * Experience / exposure to ...
Sr Software Engineer, AI Tools - Quantizer
Raleigh, NC · On-site
$119K - $157K/yr
Experience working with one of the Deep Learning frameworks like PyTorch, Tensorflow, ONNX, JAX Preferred Qualifications * 2+ years Python programming experience * Experience / exposure to ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
Machine Learning Engineer Lead
Raleigh, NC · On-site
$115K - $192K/yr
We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML ... This role combines deep ML expertise with distributed systems engineering and AI platform ...
Machine Learning Engineer Lead
Raleigh, NC · On-site
$115K - $192K/yr
We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML ... This role combines deep ML expertise with distributed systems engineering and AI platform ...
Machine Learning Engineer Lead
$115K - $192K/yr
We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML ... This role combines deep ML expertise with distributed systems engineering and AI platform ...
Machine Learning Engineer Lead
$115K - $192K/yr
We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML ... This role combines deep ML expertise with distributed systems engineering and AI platform ...
Machine Learning Engineer Lead
Raleigh, NC · On-site
$115K - $192K/yr
We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML ... This role combines deep ML expertise with distributed systems engineering and AI platform ...
Machine Learning Engineer Lead
Raleigh, NC · On-site
$115K - $192K/yr
We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML ... This role combines deep ML expertise with distributed systems engineering and AI platform ...
Building this system requires deep expertise in a myriad of cutting edge fields: search, natural language understanding, data engineering, machine learning, privacy preserving system design, and more.
Building this system requires deep expertise in a myriad of cutting edge fields: search, natural language understanding, data engineering, machine learning, privacy preserving system design, and more.
Machine Learning Engineer Lead
Raleigh, NC · On-site
$115K - $192K/yr
We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML ... This role combines deep ML expertise with distributed systems engineering and AI platform ...
Machine Learning Engineer Lead
Raleigh, NC · On-site
$115K - $192K/yr
We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML ... This role combines deep ML expertise with distributed systems engineering and AI platform ...
Machine Learning Engineer Lead
Raleigh, NC · On-site
$115K - $192K/yr
We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML ... This role combines deep ML expertise with distributed systems engineering and AI platform ...
Machine Learning Engineer Lead
Raleigh, NC · On-site
$115K - $192K/yr
We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML ... This role combines deep ML expertise with distributed systems engineering and AI platform ...
AI Engineer/ML Engineer - Senior Developers - AI Training - Raleigh, US
Raleigh, NC · On-site +1
$80/hr
AI & Machine Learning Engineer - AI Training About Prolific Prolific is not just another player in ... Deep Learning Mastery: professional-level understanding of neural network architectures ...
Quick apply
AI Engineer/ML Engineer - Senior Developers - AI Training - Raleigh, US
Raleigh, NC · On-site +1
$80/hr
AI & Machine Learning Engineer - AI Training About Prolific Prolific is not just another player in ... Deep Learning Mastery: professional-level understanding of neural network architectures ...
Building this system requires deep expertise in a myriad of cutting edge fields: search, natural language understanding, data engineering, machine learning, privacy preserving system design, and more.
Building this system requires deep expertise in a myriad of cutting edge fields: search, natural language understanding, data engineering, machine learning, privacy preserving system design, and more.
Machine Learning Engineer Lead
$115K - $192K/yr
We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML ... This role combines deep ML expertise with distributed systems engineering and AI platform ...
Machine Learning Engineer Lead
$115K - $192K/yr
We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML ... This role combines deep ML expertise with distributed systems engineering and AI platform ...
Deep Learning Engineer information
See Raleigh, NC salary details
$36.9K - $50.5K
5% of jobs
$50.5K - $64.1K
7% of jobs
$64.1K - $77.6K
9% of jobs
$80.5K is the 25th percentile. Wages below this are outliers.
$77.6K - $91.2K
14% of jobs
The median wage is $103.4K / yr.
$91.2K - $104.8K
16% of jobs
$104.8K - $118.3K
13% of jobs
$118.3K - $131.9K
6% of jobs
$139.1K is the 75th percentile. Wages above this are outliers.
$131.9K - $145.5K
8% of jobs
$145.5K - $159K
8% of jobs
$159K - $172.6K
7% of jobs
$172.6K - $186.2K
5% of jobs
$36.9K
$112.6K
$186.2K
How much do deep learning engineer jobs pay per year?
As of Jun 18, 2026, the average yearly pay for deep learning engineer in Raleigh, NC is $112,630.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,700.00 and $147,300.00 per year, depending on experience, location, and employer.
What is a Deep Learning Engineer job?
A Deep Learning Engineer is a specialized software engineer who designs, develops, and optimizes deep learning models. They work with neural networks, large datasets, and frameworks like TensorFlow or PyTorch to build AI systems for tasks like image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, performance tuning, and deploying models into production. Strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration are essential for this role.
What are the key skills and qualifications needed to thrive in the Deep Learning Engineer position, and why are they important?
To thrive as a Deep Learning Engineer, you need a strong background in mathematics, machine learning theory, and programming (especially Python), often supported by a relevant degree in computer science, engineering, or related fields. Proficiency with frameworks such as TensorFlow, PyTorch, Keras, as well as experience with GPUs and cloud platforms, is highly valued, and certifications in AI or deep learning can further enhance your profile. Effective problem-solving, strong collaboration skills, and clear communication are important soft skills for excelling in interdisciplinary teams. These abilities ensure that you can develop robust deep learning models, adapt to evolving technologies, and contribute value in both technical and collaborative settings.
What are the typical daily tasks and responsibilities of a Deep Learning Engineer?
Deep Learning Engineers typically spend their days designing, developing, and optimizing neural network models for tasks like image recognition, natural language processing, or recommendation systems. They preprocess and analyze large datasets, experiment with model architectures, and tune hyperparameters to achieve the best performance. Collaboration is often required with data scientists, product managers, and software engineers to integrate models into real-world applications and scale solutions for production. Additionally, many deep learning engineers review current research, stay updated on advancements in AI, and continuously improve their skills. This role offers a dynamic work environment where learning and innovation are highly encouraged.
What are popular job titles related to Deep Learning Engineer jobs in Raleigh, NC? For Deep Learning Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Deep Learning Engineer jobs in Raleigh, NC look for? The top searched job categories for Deep Learning Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Deep Learning Engineer jobs? Cities near Raleigh, NC with the most Deep Learning Engineer job openings:
Full-time
Posted 27 days ago
Job description
Job Summary:
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. We are looking for a motivated Deep Learning engineer to bring advanced communication technologies into AI stacks and improve AI compilers for large-scale workloads.
Responsibilities:
• Integrate new communication libraries features in AI frameworks: from PoC to performance analysis to production
• Perform deep analysis of AI workloads and frameworks to identify multi-GPU communication requirements and opportunities. Collaborate hands-on with teams working on the latest AI models.
• Improve AI compilers to hide communications or perform automatic fusion.
• Conduct in-depth AI workload performance characterization on multi-GPU clusters.
• Design fault-tolerant and elastic solutions for large-scale or dynamic AI workloads.
• Author custom communication or fused compute-communication kernels to showcase ultimate performance on NV platforms.
• Influence the roadmap of communication libraries - NCCL & NVSHMEM.
• Collaborate with a very dynamic team across multiple time zones.
Qualifications:
Required:
• B.S, M.S. or PHD in Computer Science, or related field (or equivalent experience) with 5+ software engineering and HPC/AI experience
• Development or integration experience with Deep Learning Frameworks such PyTorch, JAX, and Inference Engines such as TRT-LLM, vLLM, SGLang
• Rapid prototyping and development with Python, C++, CUDA or related DSLs (Triton, cuTe)
• Solid grasp of AI models, parallelisms, and/or compiler technologies (e.g. torch.compile)
• Experience conducting performance benchmarking on AI clusters. Familiarity with at least one performance profiler toolchain (PyTorch profiler, NVIDIA Nsight Systems)
• Understanding of HPC/AI communication concepts (1-sided v 2-sided communication, elasticity, resiliency, topology discovery, etc)
• Adaptability and passion to learn new areas and tools
• Flexibility to work and communicate effectively across different teams and timezones
Preferred:
• Experience with parallel programming on at least one communication runtime (NCCL, NVSHMEM, MPI). Good understanding of computer system architecture, HW-SW interactions and operating systems principles (aka systems software fundamentals)
• Expertise in one or more of these areas: Training, Distributed inference, MoE, Reinforcement Learning, kernel authoring (on CUDA, Triton, cuTe, etc). Experience with programming for compute & communication overlap in distributed runtimes
• Experience with AI compiler pattern matching and lowering. Solid understanding of memory hierarchy, consistency model, and tensor layout
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. We are looking for a motivated Deep Learning engineer to bring advanced communication technologies into AI stacks and improve AI compilers for large-scale workloads.
Responsibilities:
• Integrate new communication libraries features in AI frameworks: from PoC to performance analysis to production
• Perform deep analysis of AI workloads and frameworks to identify multi-GPU communication requirements and opportunities. Collaborate hands-on with teams working on the latest AI models.
• Improve AI compilers to hide communications or perform automatic fusion.
• Conduct in-depth AI workload performance characterization on multi-GPU clusters.
• Design fault-tolerant and elastic solutions for large-scale or dynamic AI workloads.
• Author custom communication or fused compute-communication kernels to showcase ultimate performance on NV platforms.
• Influence the roadmap of communication libraries - NCCL & NVSHMEM.
• Collaborate with a very dynamic team across multiple time zones.
Qualifications:
Required:
• B.S, M.S. or PHD in Computer Science, or related field (or equivalent experience) with 5+ software engineering and HPC/AI experience
• Development or integration experience with Deep Learning Frameworks such PyTorch, JAX, and Inference Engines such as TRT-LLM, vLLM, SGLang
• Rapid prototyping and development with Python, C++, CUDA or related DSLs (Triton, cuTe)
• Solid grasp of AI models, parallelisms, and/or compiler technologies (e.g. torch.compile)
• Experience conducting performance benchmarking on AI clusters. Familiarity with at least one performance profiler toolchain (PyTorch profiler, NVIDIA Nsight Systems)
• Understanding of HPC/AI communication concepts (1-sided v 2-sided communication, elasticity, resiliency, topology discovery, etc)
• Adaptability and passion to learn new areas and tools
• Flexibility to work and communicate effectively across different teams and timezones
Preferred:
• Experience with parallel programming on at least one communication runtime (NCCL, NVSHMEM, MPI). Good understanding of computer system architecture, HW-SW interactions and operating systems principles (aka systems software fundamentals)
• Expertise in one or more of these areas: Training, Distributed inference, MoE, Reinforcement Learning, kernel authoring (on CUDA, Triton, cuTe, etc). Experience with programming for compute & communication overlap in distributed runtimes
• Experience with AI compiler pattern matching and lowering. Solid understanding of memory hierarchy, consistency model, and tensor layout
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
About Nvidia
Sourced by ZipRecruiter
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Santa Clara, CA, US
Year founded
1993